This is the framework of periodically Rolling Retrain (RR) forecasting models. RR adapts to market dynamics by utilizing the up-to-date data periodically.
Users can try RR by running the following command:
python rolling_benchmark.py run
The default forecasting models are Linear
. Users can choose other forecasting models by changing the model_type
parameter.
For example, users can try LightGBM
forecasting models by running the following command:
python rolling_benchmark.py --conf_path=workflow_config_lightgbm_Alpha158.yaml run